Econometrics Instructor
Alignerr · Chicago, IL · Today
RemoteRemoteEducationContract
About The Role
We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your expertise will directly influence how AI systems reason through statistical models, causal inference, and economic data — making a real and lasting impact on how these tools serve researchers, students, and professionals worldwide.
What You'll Do
- Review and validate econometric questions, models, and explanations used in AI training datasets
- Audit the statistical accuracy, underlying assumptions, and interpretation of quantitative results
- Identify errors, logical gaps, and edge cases in AI-generated economic reasoning
- Provide clear, structured feedback to improve model outputs for clarity and correctness
- Apply your real-world teaching experience to evaluate how well concepts are communicated to diverse audiences
- Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
- 3+ years of experience teaching econometrics or quantitative economics at a college or university level
- Strong command of regression analysis, causal inference, and applied statistical methods
- Able to clearly evaluate and explain quantitative reasoning in written form
- Comfortable reviewing structured, technical content with precision and consistency
- Self-motivated and reliable in an asynchronous remote environment
Nice to Have
- Master's or PhD in Economics, Statistics, or a related quantitative field
- Proficiency in statistical tools such as R, Stata, or Python
- Prior experience with AI evaluation, data annotation, or model training workflows